Literature DB >> 34782701

Rostral anterior cingulate network effective connectivity in depressed adolescents and associations with treatment response in a randomized controlled trial.

Alec J Jamieson1, Ben J Harrison2, Adeel Razi3,4,5, Christopher G Davey6.   

Abstract

The rostral anterior cingulate cortex (rACC) is consistently implicated in the neurobiology of depression. While the functional connectivity of the rACC has been previously associated with treatment response, there is a paucity of work investigating the specific directional interactions underpinning these associations. We compared the fMRI resting-state effective connectivity of 94 young people with major depressive disorder and 91 healthy controls. Following the fMRI scan, patients were randomized to receive cognitive behavioral therapy for 12 weeks, plus either fluoxetine or a placebo. Using spectral dynamic causal modelling, we examined the effective connectivity of the rACC with eight other regions implicated in depression: the left and right anterior insular cortex (AIC), amygdalae, and dorsolateral prefrontal cortex (dlPFC); and in the midline, the subgenual (sgACC) and dorsal anterior cingulate cortex (dACC). Parametric empirical Bayes was used to compare baseline differences between controls and patients and responders and non-responders to treatment. Depressed patients demonstrated greater inhibitory connectivity from the rACC to the dlPFC, AIC, dACC and left amygdala. Moreover, treatment responders illustrated greater inhibitory connectivity from the rACC to dACC, greater excitatory connectivity from the dACC to sgACC and reduced inhibitory connectivity from the sgACC to amygdalae at baseline. The inhibitory hyperconnectivity of the rACC in depressed patients aligns with hypotheses concerning the dominance of the default mode network over other intrinsic brain networks. Surprisingly, treatment responders did not demonstrate connectivity which was more similar to healthy controls, but rather distinct alterations that may have predicated their enhanced treatment response.
© 2021. The Author(s), under exclusive licence to American College of Neuropsychopharmacology.

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Year:  2021        PMID: 34782701      PMCID: PMC9018815          DOI: 10.1038/s41386-021-01214-z

Source DB:  PubMed          Journal:  Neuropsychopharmacology        ISSN: 0893-133X            Impact factor:   8.294


  81 in total

1.  Frontal and rostral anterior cingulate (rACC) theta EEG in depression: implications for treatment outcome?

Authors:  Martijn Arns; Amit Etkin; Ulrich Hegerl; Leanne M Williams; Charles DeBattista; Donna M Palmer; Paul B Fitzgerald; Anthony Harris; Roger deBeuss; Evian Gordon
Journal:  Eur Neuropsychopharmacol       Date:  2015-04-20       Impact factor: 4.600

2.  The international Study to Predict Optimized Treatment in Depression (iSPOT-D): outcomes from the acute phase of antidepressant treatment.

Authors:  Radu Saveanu; Amit Etkin; Anne-Marie Duchemin; Andrea Goldstein-Piekarski; Anett Gyurak; Charles Debattista; Alan F Schatzberg; Satish Sood; Claire V A Day; Donna M Palmer; William R Rekshan; Evian Gordon; A John Rush; Leanne M Williams
Journal:  J Psychiatr Res       Date:  2014-12-31       Impact factor: 4.791

3.  Neural and behavioral effects of interference resolution in depression and rumination.

Authors:  Marc G Berman; Derek Evan Nee; Melynda Casement; Hyang Sook Kim; Patricia Deldin; Ethan Kross; Richard Gonzalez; Emre Demiralp; Ian H Gotlib; Paul Hamilton; Jutta Joormann; Christian Waugh; John Jonides
Journal:  Cogn Affect Behav Neurosci       Date:  2011-03       Impact factor: 3.282

4.  Default-mode and task-positive network activity in major depressive disorder: implications for adaptive and maladaptive rumination.

Authors:  J Paul Hamilton; Daniella J Furman; Catie Chang; Moriah E Thomason; Emily Dennis; Ian H Gotlib
Journal:  Biol Psychiatry       Date:  2011-04-03       Impact factor: 13.382

5.  Evidence of a dissociation pattern in resting-state default mode network connectivity in first-episode, treatment-naive major depression patients.

Authors:  Xueling Zhu; Xiang Wang; Jin Xiao; Jian Liao; Mingtian Zhong; Wei Wang; Shuqiao Yao
Journal:  Biol Psychiatry       Date:  2011-12-15       Impact factor: 13.382

6.  Depression in adolescence.

Authors:  Anita Thapar; Stephan Collishaw; Daniel S Pine; Ajay K Thapar
Journal:  Lancet       Date:  2012-02-02       Impact factor: 79.321

7.  Construct validation of a DCM for resting state fMRI.

Authors:  Adeel Razi; Joshua Kahan; Geraint Rees; Karl J Friston
Journal:  Neuroimage       Date:  2014-11-21       Impact factor: 6.556

8.  Altered Resting State Effective Connectivity of Anterior Insula in Depression.

Authors:  Sevdalina Kandilarova; Drozdstoy Stoyanov; Stefan Kostianev; Karsten Specht
Journal:  Front Psychiatry       Date:  2018-03-15       Impact factor: 4.157

9.  A guide to group effective connectivity analysis, part 2: Second level analysis with PEB.

Authors:  Peter Zeidman; Amirhossein Jafarian; Mohamed L Seghier; Vladimir Litvak; Hayriye Cagnan; Cathy J Price; Karl J Friston
Journal:  Neuroimage       Date:  2019-06-18       Impact factor: 6.556

Review 10.  Cognitive Vulnerability to Major Depression: View from the Intrinsic Network and Cross-network Interactions.

Authors:  Xiang Wang; Dost Öngür; Randy P Auerbach; Shuqiao Yao
Journal:  Harv Rev Psychiatry       Date:  2016 May-Jun       Impact factor: 3.732

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